Prepare Defaults for Data Simulation

Prepares a list with default values for data simulation. These defaults are derived from the data used as a basis of the demcrit article. This function is a helper with no inputs and is typically called within simulate_PDD_data.

Usage

prepare_defaults()

Value

A list containing:

Mu

Named numeric vector containing means for FAQ, MMSE, MoCA, and sMoCA.

Sigma

Named matrix containing variance-covariance of the variables (FAQ, MMSE, MoCA, and sMoCA).

cens

A matrix with named rows denoting scales (FAQ, MMSE, MoCA, and sMoCA) and two columns - the first containing lower bound, the second containing upper bound of each scale.

crits

A data.frame with four columns denoting IADL measure to use (IADL), threshold for the IADL measure (IADL_thres), cognitive measure to use (cognition), and threshold for the cognitive measure (cognition_thres). Score above IADL_thres and below cognition_thres are regarder to indicate PDD symptoms. Rownames contain algorithm names.

See also

simulate_pdd_data() uses outputs of this function unless specified by the user.